An empirical comparison of edge effect correction methods applied to K-function analysis

Geographical Analysis

Volumn 35, Issue 2, 2003, Pages 97-109

  Yamada, Ikuho ^a   Rogerson, Peter A ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORRECTION; SPATIAL ANALYSIS;

EID: 0043071482     PISSN: 00167363     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1538-4632.2003.tb01103.x     Document Type: Article

References (24)

1. Bailey, T. C., and A. C. Gatrell (1995). Interactive Spatial Data Analysis. Harlow: Longman.
2. Bartlett, M. S. (1964). The Spectral Analysis of Two-Dimensional Point Process. Biometrika 51 (3/4), 299-311.
3. Barot, S., J. Gignoux, and J-C. Menaut (1999). Demography of a Savanna Palm Tree: Predictions from Comprehensive Spatial Pattern Analysis. Ecology SO(6), 1987-2005.
4. Besag, J. E. (1977). Comment on "Modelling Spatial Patterns" by B. J. Ripley. Journal of the Royal Statistical Society. Series B 39(2), 193-95.
5. Besag, J., and J. Newell (1991). The Detection of Clusters in Rare Diseases. Journal of Royal Statistical Society. Series A 154(1), 143-55.
6. Clark, P. J., and F. C. Evans (1954). Distance to Nearest Neighbor as a Measure of Spatial Relationships in Population. Ecology 35(4), 445-53.
7. Cliff, A. D., and J. K. Ord (1975). Model Building and the Analysis of Spatial Pattern in Human Geography. Journal of Royal Statistical Society 37(3), 297-348.
8. Coomes, D. A., M. Rees, and L. Turnbull (1999). Identifying Aggregation and Association in Fully Mapped Spatial Data. Ecology 80(2), 554-65.
9. Cressie, N. (1991). Statistics for Spatial Data. New York: John Wiley & Sons.
10. Diggle, P. J. (1979). On Parameter Estimation and Goodness-of-Fit Testing for Spatial Point Patterns. Biometrics 35, 87-101.
11. Getis, A. (1983). Second-Order Analysis of Point Patterns: The Case of Chicago as a Multi-center Urban Region. The Professional Geographer 35(1), 73-80.
12. Haining, R. (1990). Spatial Data Analysis in the Social and Environmental Sciences. Cambridge: Cambridge University Press.
13. Hasse, P. (1995). Spatial Pattern Analysis in Ecology Based on Ripley's K-function: Introduction and Methods of Edge Correction. Journal of Vegetation Science 6, 575-82.
14. He, F. and R. P. Duncan (2000). Density-dependent Effects on Tree Survival in an Old-Growth Douglas Fir Forest. The Journal of Ecology 88(4), 676-88.
15. Jones, A. P., I. H. Langford, and G. Bentham (1996). The Application of K-function Analysis to the Geographical Distribution of Road Traffic Accident Outcomes in Norfolk, England. Social Science and Medicine 42(6), 879-85.
16. 03. New York: Springer.
17. Levine, N. (1999). Crime Stat: A Spatial Program for the Analysis of Crime Incident Locations. Ned Levine & Associates, Annadale, Va., and the National Institute of Justice, Washington, D.C. August 1999. (http://www.icpsr.umich.edn/NACJD/crimestat.html)
18. Pellegrini, P. A., and S. Reader (1996). Duration Modeling of Spatial Point Patterns. Geographical Analysis 28(3), 219-43.
19. Rechel, J. L., and M. C. Nicholson (1994). Spatial Pattern Analysis of Mule Deer Locations in the San Bernardino Mountains, California. GIS/LIS '94, 643-57.
20. Ripley, B. D. (1976). The Second-Order Analysis of Stationary Point Process. Journal of Applied Probability 13, 255-66.
21. Ripley, B. D. (1977). Modelling Spatial Patterns. Journal of the Royal Statistical Society. Series B 39(2), 172-92.
22. Ripley, B. D. (1979). Tests of "Randomness" for Spatial Point Patterns. Journal of the Royal Statistical Society, Series B 41(3), 368-74.
23. Rogerson, P. A. (2001). Statistical Methods for Geography. London: Sage Publications.
24. Tango, T. (2000). A Test for Spatial Disease Clustering Adjusted for Multiple Testing. Statistics in Medicine 19, 191-204.